The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-11-24"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "59759494 (up from 59171078 yesterday: 0.99 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1409252 (up from 1396467 yesterday: 0.92 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 12291406

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.36



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 12591163 172935 1.39 3145853 259925 2146 0.83 2.06
India 9222216 44376 0.48 908340 134699 481 0.36 1.46
Brazil 6118708 31100 0.51 552659 170115 630 0.37 2.78
France 2206126 10186 0.46 744735 50324 1012 2.05 2.28
Russia 2120836 24087 1.15 459740 36675 483 1.33 1.73
Spain 1594844 12228 0.77 335478 43668 537 1.25 2.74
United Kingdom 1542611 11344 0.74 465512 55935 608 1.10 3.63
Italy 1455022 23227 1.62 695193 51306 853 1.69 3.53
Argentina 1381795 7164 0.52 186519 37432 310 0.84 2.71
Colombia 1262494 7515 0.60 163102 35677 198 0.56 2.83
Mexico 1060152 10794 1.03 121747 102739 813 0.80 9.69
Germany 963192 16370 1.73 386061 14832 372 2.57 1.54
Peru 950557 887 0.09 48054 35641 46 0.13 3.75
Poland 909066 32733 3.74 494222 14314 540 3.92 1.57
Iran 880542 13721 1.58 242830 45738 483 1.07 5.19
South Africa 772252 2493 0.32 43416 21083 115 0.55 2.73
Ukraine 665968 12526 1.92 242285 11619 196 1.72 1.74
Belgium 561803 1901 0.34 109262 15938 183 1.16 2.84
Chile 543087 1007 0.19 28885 15131 25 0.17 2.79
Iraq 539749 2292 0.43 57453 12031 35 0.29 2.23
Indonesia 506302 4192 0.83 87927 16111 109 0.68 3.18
Czechia 502534 5896 1.19 139549 7499 139 1.89 1.49
Netherlands 501503 4002 0.80 119063 9111 90 1.00 1.82
Turkey 460916 7381 1.63 78798 12672 161 1.29 2.75
Bangladesh 451990 2230 0.50 39343 6448 32 0.50 1.43
Romania 430605 7753 1.83 172168 10373 196 1.93 2.41
Philippines 421722 1108 0.26 34561 8185 12 0.15 1.94
Pakistan 382892 3009 0.79 45319 7803 59 0.76 2.04
Saudi Arabia 355741 252 0.07 7231 5811 15 0.26 1.63
Canada 346013 5282 1.55 98097 11676 106 0.92 3.37
Morocco 331527 3999 1.22 101962 5469 73 1.35 1.65
Israel 330935 937 0.28 14407 2822 11 0.39 0.85
Switzerland 304593 4241 1.41 122290 4308 86 2.04 1.41
Portugal 268721 3919 1.48 119278 4056 85 2.14 1.51
Austria 254710 4377 1.75 136512 2577 118 4.80 1.01
Sweden 225560 17265 8.29 91028 6500 94 1.47 2.88
Nepal 224078 1790 0.81 44464 1361 24 1.80 0.61
Jordan 192996 4586 2.43 106420 2380 78 3.39 1.23
Ecuador 186436 492 0.26 16326 13264 39 0.29 7.11
Hungary 181881 3929 2.21 95112 4008 117 3.01 2.20
United Arab Emirates 161365 1310 0.82 25216 559 5 0.90 0.35
Panama 156930 1272 0.82 21338 2986 13 0.44 1.90
Bolivia 144147 113 0.08 2211 8928 12 0.13 6.19
Kuwait 140795 402 0.29 12715 870 2 0.23 0.62
Dominican Republic 139111 282 0.20 11263 2313 2 0.09 1.66
Qatar 137642 227 0.17 4499 236 0 0.00 0.17
Japan 135786 1232 0.92 32477 1963 14 0.72 1.45
Costa Rica 133190 895 0.68 21070 1662 21 1.28 1.25
Serbia 133029 6842 5.42 81946 1274 37 2.99 0.96
Bulgaria 129348 4382 3.51 68811 3226 157 5.12 2.49
Kazakhstan 127580 1398 1.11 13839 1945 0 0.00 1.52
Armenia 127522 813 0.64 32746 2002 26 1.32 1.57
Belarus 126953 1471 1.17 25624 1112 8 0.72 0.88
Oman 122579 223 0.18 6051 1391 5 0.36 1.13
Guatemala 119349 627 0.53 10866 4099 7 0.17 3.43
Lebanon 118705 1188 1.01 33496 934 23 2.52 0.79
Egypt 113742 361 0.32 5620 6573 13 0.20 5.78
Georgia 111818 3128 2.88 67296 1051 39 3.85 0.94
Croatia 108014 2323 2.20 53927 1445 47 3.36 1.34
Ethiopia 106591 388 0.37 9089 1661 10 0.61 1.56
Honduras 105211 0 0.00 6523 2869 0 0.00 2.73
Venezuela 100498 355 0.35 7398 876 3 0.34 0.87
Moldova 99633 1215 1.23 22146 2188 19 0.88 2.20
Azerbaijan 98927 3646 3.83 40645 1194 34 2.93 1.21
Slovakia 97493 1021 1.06 33937 709 16 2.31 0.73
Greece 95137 2131 2.29 50891 1815 101 5.89 1.91
China 92296 85 0.09 818 4742 0 0.00 5.14
Tunisia 90213 1017 1.14 27087 2935 73 2.55 3.25
Bahrain 86016 130 0.15 3653 340 1 0.29 0.40
Burma 82236 1731 2.15 26432 1784 19 1.08 2.17
Bosnia and Herzegovina 81739 1186 1.47 27917 2394 52 2.22 2.93
Libya 79180 707 0.90 15492 1110 8 0.73 1.40
Kenya 78512 727 0.93 21419 1409 17 1.22 1.79
Paraguay 77891 819 1.06 13263 1677 12 0.72 2.15
Algeria 77000 1133 1.49 18021 2309 15 0.65 3.00
West Bank and Gaza 75007 1811 2.47 19599 656 11 1.71 0.87
Denmark 73539 1367 1.89 23433 797 8 1.01 1.08
Uzbekistan 71985 211 0.29 4432 604 0 0.00 0.84
Ireland 70930 219 0.31 7882 2028 5 0.25 2.86
Kyrgyzstan 70366 481 0.69 9592 1241 4 0.32 1.76
Slovenia 67080 1302 1.98 29698 1156 59 5.38 1.72
Nigeria 66607 168 0.25 3434 1169 1 0.09 1.76
Malaysia 58847 2188 3.86 24454 341 4 1.19 0.58
Singapore 58183 18 0.03 154 28 0 0.00 0.05
North Macedonia 56164 1037 1.88 22256 1561 15 0.97 2.78
Ghana 51184 243 0.48 2984 323 0 0.00 0.63
Lithuania 49393 1167 2.42 31940 409 17 4.34 0.83
Afghanistan 45280 292 0.65 3552 1712 17 1.00 3.78
El Salvador 37884 322 0.86 3869 1086 5 0.46 2.87
Kosovo 35549 609 1.74 14550 939 13 1.40 2.64
Albania 34300 744 2.22 12396 735 19 2.65 2.14
Norway 33717 534 1.61 11761 314 3 0.96 0.93
Montenegro 32188 570 1.80 12211 450 6 1.35 1.40
Korea, South 31735 382 1.22 4810 513 3 0.59 1.62
Luxembourg 31484 373 1.20 11850 283 10 3.66 0.90
Australia 27853 10 0.04 231 907 0 0.00 3.26
Cameroon 23869 27 0.11 1766 436 1 0.23 1.83
Finland 22289 353 1.61 5652 384 0 0.00 1.72
Cote d’Ivoire 21156 8 0.04 391 131 0 0.00 0.62
Sri Lanka 20967 459 2.24 9223 94 4 4.44 0.45
Uganda 18406 241 1.33 5307 186 5 2.76 1.01
Zambia 17466 12 0.07 805 357 0 0.00 2.04
Madagascar 17341 0 0.00 230 251 0 0.00 1.45
Sudan 16431 379 2.36 2526 1202 5 0.42 7.32
Senegal 15908 11 0.07 268 331 1 0.30 2.08
Mozambique 15231 122 0.81 2029 127 1 0.79 0.83
Angola 14742 108 0.74 3165 338 1 0.30 2.29
Namibia 13938 41 0.30 908 145 0 0.00 1.04
Latvia 13693 457 3.45 7254 175 13 8.02 1.28
Guinea 12863 22 0.17 650 75 0 0.00 0.58
Maldives 12810 52 0.41 1014 46 0 0.00 0.36
Congo (Kinshasa) 12310 32 0.26 883 331 2 0.61 2.69
Tajikistan 11971 39 0.33 832 86 0 0.00 0.72
Jamaica 10422 79 0.76 1126 243 4 1.67 2.33
Cabo Verde 10400 98 0.95 1456 104 0 0.00 1.00
Estonia 10159 203 2.04 5034 94 2 2.17 0.93

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Texas 1181533 19481 1.68 220155 21245 196 0.93 1.80 40748.30 732.69 1 in 25
California 1145209 16990 1.51 199808 18862 109 0.58 1.65 28983.66 477.37 1 in 35
Florida 953300 8555 0.91 136600 18157 72 0.40 1.90 44385.50 845.39 1 in 23
Illinois 674089 9469 1.42 237824 12261 150 1.24 1.82 53195.91 967.58 1 in 19
New York 607001 4881 0.81 93312 34362 23 0.07 5.66 31202.56 1766.36 1 in 32
Georgia 454732 3676 0.81 60206 9221 6 0.07 2.03 42828.85 868.48 1 in 23
Wisconsin 386441 6748 1.78 135410 3272 114 3.61 0.85 66371.04 561.96 1 in 15
Ohio 371840 8536 2.35 145702 6100 80 1.33 1.64 31810.83 521.85 1 in 31
Michigan 347746 6782 1.99 139983 9094 154 1.72 2.62 34820.36 910.60 1 in 29
Tennessee 345916 1366 0.40 79559 4372 71 1.65 1.26 50623.03 639.82 1 in 20
North Carolina 342294 3100 0.91 61917 5074 35 0.69 1.48 32636.47 483.79 1 in 31
Pennsylvania 326513 6355 1.98 106439 9924 78 0.79 3.04 25504.86 775.19 1 in 39
New Jersey 313863 4275 1.38 71038 16819 47 0.28 5.36 35336.22 1893.56 1 in 28
Arizona 306868 4544 1.50 57050 6515 51 0.79 2.12 40298.40 855.56 1 in 25
Indiana 306538 5625 1.87 118472 5435 103 1.93 1.77 45532.98 807.31 1 in 22
Missouri 284612 3967 1.41 91171 3769 189 5.28 1.32 46373.17 614.10 1 in 22
Minnesota 282916 6416 2.32 125820 3359 38 1.14 1.19 50165.68 595.61 1 in 20
Alabama 236865 2785 1.19 39361 3472 13 0.38 1.47 48308.40 708.11 1 in 21
Louisiana 224403 3243 1.47 39634 6323 39 0.62 2.82 48271.23 1360.14 1 in 21
Virginia 223582 2544 1.15 38903 3979 37 0.94 1.78 26194.31 466.17 1 in 38
Iowa 217784 2992 1.39 83458 2270 48 2.16 1.04 69026.68 719.48 1 in 14
Massachusetts 211199 2576 1.23 49614 10551 20 0.19 5.00 30390.52 1518.24 1 in 33
South Carolina 209230 1678 0.81 29278 4313 25 0.58 2.06 40637.33 837.68 1 in 25
Colorado 206439 4150 2.05 91730 2860 50 1.78 1.39 35847.97 496.64 1 in 28
Maryland 185464 1667 0.91 37698 4481 33 0.74 2.42 30677.11 741.19 1 in 33
Utah 182121 2701 1.51 62746 808 11 1.38 0.44 56807.04 252.03 1 in 18
Oklahoma 180610 2736 1.54 54084 1664 15 0.91 0.92 45643.50 420.52 1 in 22
Kentucky 162838 2606 1.63 51459 1809 17 0.95 1.11 36448.06 404.91 1 in 27
Washington 151019 3482 2.36 41008 2690 35 1.32 1.78 19832.06 353.26 1 in 50
Arkansas 148312 2122 1.45 33793 2405 18 0.75 1.62 49145.33 796.93 1 in 20
Kansas 145129 337 0.23 51699 1456 0 0.00 1.00 49815.78 499.77 1 in 20
Mississippi 144544 665 0.46 23035 3729 53 1.44 2.58 48567.46 1252.96 1 in 21
Nevada 139098 2871 2.11 36073 2047 24 1.19 1.47 45159.40 664.58 1 in 22
Nebraska 115921 0 0.00 41861 934 0 0.00 0.81 59925.83 482.84 1 in 17
Connecticut 107280 540 0.51 32437 4881 10 0.21 4.55 30090.14 1369.03 1 in 33
Idaho 94730 1640 1.76 27706 874 8 0.92 0.92 52860.81 487.71 1 in 19
New Mexico 86247 2099 2.49 37007 1428 28 2.00 1.66 41132.11 681.03 1 in 24
South Dakota 74859 1011 1.37 26005 821 2 0.24 1.10 84619.05 928.04 1 in 12
North Dakota 74401 1004 1.37 27214 889 37 4.34 1.19 97631.16 1166.57 1 in 10
Oregon 67333 1000 1.51 20873 847 21 2.54 1.26 15964.25 200.82 1 in 63
Montana 57504 1123 1.99 22345 630 16 2.61 1.10 53803.50 589.46 1 in 19
Rhode Island 51424 851 1.68 16881 1325 16 1.22 2.58 48542.47 1250.75 1 in 21
Puerto Rico 48548 348 0.72 -20395 1038 6 0.58 2.14 15201.21 325.02 1 in 66
West Virginia 42083 969 2.36 16487 682 15 2.25 1.62 23547.59 381.61 1 in 42
Delaware 32664 453 1.41 7238 757 5 0.66 2.32 33544.06 777.40 1 in 30
Wyoming 29959 528 1.79 15338 202 0 0.00 0.67 51764.21 349.02 1 in 19
Alaska 28863 590 2.09 11415 116 13 12.62 0.40 39454.85 158.57 1 in 25
District of Columbia 20409 119 0.59 2885 673 1 0.15 3.30 28918.21 953.60 1 in 35
New Hampshire 18444 362 2.00 6996 513 1 0.20 2.78 13564.65 377.29 1 in 74
Hawaii 17656 60 0.34 2338 233 0 0.00 1.32 12470.05 164.56 1 in 80
Maine 10799 255 2.42 3874 189 12 6.78 1.75 8033.70 140.60 1 in 124
Vermont 3762 48 1.29 1525 64 1 1.59 1.70 6028.95 102.57 1 in 166

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 Texas 10240403 1181533 11.54 1911534 220155 11.52 353167.5
2 California 22741363 1145209 5.04 3666442 199808 5.45 575552.6
3 Florida 11842707 953300 8.05 1660247 136600 8.23 551394.5
4 Illinois 9990304 674089 6.75 2025189 237824 11.74 788387.4
5 New York 18352601 607001 3.31 3451978 93312 2.70 943405.7
6 Georgia 4173943 454732 10.89 555113 60206 10.85 393122.0
7 Wisconsin 4234962 386441 9.13 857874 135410 15.78 727352.5
8 Ohio 5804292 371840 6.41 1199577 145702 12.15 496555.9
9 Michigan 6334377 347746 5.49 1283887 139983 10.90 634271.3
10 Tennessee 4340462 345916 7.97 605898 79559 13.13 635204.4
11 North Carolina 5028737 342294 6.81 871259 61917 7.11 479471.5
12 Pennsylvania 3044438 326513 10.72 475221 106439 22.40 237809.8
13 New Jersey 5725579 313863 5.48 958920 71038 7.41 644613.4
14 Arizona 2140041 306868 14.34 336806 57050 16.94 281033.6
15 Indiana 3976683 306538 7.71 981340 118472 12.07 590694.2
16 Missouri 2960516 284612 9.61 375236 91171 24.30 482370.8
17 Minnesota 3809976 282916 7.43 926238 125820 13.58 675571.7
18 Alabama 1544865 236865 15.33 181816 39361 21.65 315073.8
19 Louisiana 3296384 224403 6.81 478524 39634 8.28 709083.7
20 Virginia 3187267 223582 7.01 501598 38903 7.76 373412.2
21 Iowa 1044789 217784 20.84 141653 83458 58.92 331146.1
22 Massachusetts 8000861 211199 2.64 1728975 49614 2.87 1151285.4
23 South Carolina 2287492 209230 9.15 432369 29278 6.77 444284.2
24 Colorado 2939263 206439 7.02 878621 91730 10.44 510400.7
25 Maryland 4200836 185464 4.41 701719 37698 5.37 694849.2
26 Utah 1753460 182121 10.39 332605 62746 18.87 546937.9
27 Oklahoma 2011009 180610 8.98 363670 54084 14.87 508219.3
28 Kentucky 2470357 162838 6.59 536538 51459 9.59 552940.4
29 Washington 2894367 151019 5.22 424182 41008 9.67 380092.9
30 Arkansas 1617903 148312 9.17 249018 33793 13.57 536115.6
31 Kansas 784288 145129 18.50 129021 51699 40.07 269208.2
32 Mississippi 1091816 144544 13.24 133099 23035 17.31 366855.3
33 Nevada 1558626 139098 8.92 280682 36073 12.85 506021.8
34 Nebraska 1277910 115921 9.07 317446 41861 13.19 660620.7
35 Connecticut 3051730 107280 3.52 683736 32437 4.74 855956.3
36 Idaho 457108 94730 20.72 66817 27706 41.47 255073.3
37 New Mexico 1477284 86247 5.84 285957 37007 12.94 704532.4
38 South Dakota 315794 74859 23.71 50584 26005 51.41 356966.9
39 North Dakota 1040798 74401 7.15 184426 27214 14.76 1365765.5
40 Oregon 1024582 67333 6.57 147178 20873 14.18 242922.2
41 Montana 622796 57504 9.23 110272 22345 20.26 582717.8
42 Rhode Island 1479845 51424 3.47 309786 16881 5.45 1396922.3
44 West Virginia 1053635 42083 3.99 253227 16487 6.51 589562.6
45 Delaware 693009 32664 4.71 122949 7238 5.89 711680.7
46 Wyoming 161747 29959 18.52 26411 15338 58.07 279472.1
47 Alaska 943401 28863 3.06 318646 11415 3.58 1289600.8
48 District of Columbia 648922 20409 3.15 115503 2885 2.50 919479.9
49 New Hampshire 770791 18444 2.39 139747 6996 5.01 566878.6
50 Hawaii 639725 17656 2.76 102304 2338 2.29 451824.0
51 Maine 833554 10799 1.30 185593 3874 2.09 620106.1
52 Vermont 527945 3762 0.71 111799 1525 1.36 846080.6

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 0 0 1470660 89.20 134137 43348 0 0 2.63
Andhra Pradesh 808924 0 0 773548 95.63 28770 6606 0 0 0.82
Karnataka 805947 0 0 719558 89.28 75423 10947 0 0 1.36
Tamil Nadu 711713 0 0 671489 94.35 29268 10956 0 0 1.54
Uttar Pradesh 472068 0 0 438512 92.89 26654 6902 0 0 1.46
Kerala 397218 0 0 302017 76.03 93745 1353 0 0 0.34
Delhi 359488 0 0 327390 91.07 25786 6312 0 0 1.76
West Bengal 353822 0 0 310086 87.64 37190 6546 0 0 1.85
Odisha 282695 0 0 266105 94.13 15278 1312 0 0 0.46
Telangana 231834 0 0 211912 91.41 18611 1311 0 0 0.57
Bihar 212705 0 0 202007 94.97 9639 1058 0 0 0.50
Assam 204386 0 0 188584 92.27 14891 908 0 0 0.44
Rajasthan 188048 0 0 169962 90.38 16233 1853 0 0 0.99
Chhattisgarh 177608 0 0 153654 86.51 22093 1861 0 0 1.05
Gujarat 168081 0 0 150750 89.69 13638 3693 0 0 2.20
Madhya Pradesh 167969 0 0 154222 91.82 10857 2890 0 0 1.72
Haryana 159457 0 0 147566 92.54 10154 1737 0 0 1.09
Punjab 131391 0 0 123047 93.65 4219 4125 0 0 3.14
Jharkhand 99906 0 0 93368 93.46 5666 872 0 0 0.87
Jammu and Kashmir 92225 0 0 83485 90.52 7296 1444 0 0 1.57
Uttarakhand 60744 0 0 55188 90.85 4080 1001 0 0 1.65
Goa 42532 0 0 39433 92.71 2517 582 0 0 1.37
Puducherry 34336 0 0 29990 87.34 3758 588 0 0 1.71
Tripura 30254 0 0 28046 92.70 1845 340 0 0 1.12
Himachal Pradesh 20586 0 0 17760 86.27 2508 288 0 0 1.40
Manipur 17424 0 0 13057 74.94 4223 144 0 0 0.83
Arunachal Pradesh 14391 0 0 12182 84.65 2174 35 0 0 0.24
Chandigarh 14085 0 0 13230 93.93 633 222 0 0 1.58
Meghalaya 9020 0 0 7332 81.29 1604 81 0 0 0.90
Nagaland 8663 0 0 6720 77.57 1833 27 0 0 0.31
Ladakh 5978 0 0 5216 87.25 691 71 0 0 1.19
Andaman and Nicobar Islands 4253 0 0 3997 93.98 198 58 0 0 1.36
Sikkim 3840 0 0 3448 89.79 245 65 0 0 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0 3147 97.55 51 2 0 0 0.06
Mizoram 2493 0 0 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 3172359 242947 9934 4.26 7.66 5563 570 117366 18118 7.46
Piemonte 1117280 89458 4878 5.77 8.01 3871 268 47916 4549 5.09
Campania 1075201 78009 4508 6.13 7.26 1677 180 62196 796 1.02
Veneto 2417660 72092 3297 4.79 2.98 1184 169 43937 2543 3.53
Emilia-Romagna 1695309 67041 1953 3.00 3.95 1673 177 33730 4752 7.09
Lazio 1591303 60707 2699 4.65 3.81 2511 234 46684 1370 2.26
Toscana 1180350 57680 2592 4.71 4.89 1303 209 39440 1502 2.60
Liguria 475685 34452 1127 3.38 7.24 1315 78 11692 1879 5.45
Sicilia 737769 28825 1423 5.19 3.91 1157 159 19513 628 2.18
Puglia 594560 23881 946 4.12 4.02 787 122 15629 802 3.36
Marche 338947 17656 697 4.11 5.21 444 60 9240 1037 5.87
Umbria 320893 13591 767 5.98 4.24 326 53 8885 174 1.28
Abruzzo 308505 13505 395 3.01 4.38 468 42 8581 584 4.32
Friuli Venezia Giulia 567637 13352 542 4.23 2.35 260 44 6755 435 3.26
P.A. Bolzano 249844 11572 713 6.57 4.63 356 35 7046 330 2.85
Sardegna 286076 11412 359 3.25 3.99 392 46 7686 249 2.18
P.A. Trento 304662 10453 261 2.56 3.43 226 17 2433 459 4.39
Calabria 292222 6714 264 4.09 2.30 212 15 4481 132 1.97
Valle d’Aosta 44359 3963 129 3.36 8.93 154 13 2168 195 4.92
Basilicata 112980 3172 249 8.52 2.81 100 16 2335 59 1.86
Molise 68295 2199 76 3.58 3.22 26 8 1405 45 2.05

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 134330 1124 0.84 6887 45 0.66 5.13 15733.79 806.66 1 in 64
Ontario 110066 1389 1.28 3576 23 0.65 3.25 7481.46 243.07 1 in 134
Alberta 49536 1115 2.30 492 16 3.36 0.99 11224.65 111.49 1 in 89
British Columbia 28348 941 3.43 358 10 2.87 1.26 5546.56 70.05 1 in 180
Manitoba 14558 471 3.34 248 12 5.08 1.70 10568.29 180.03 1 in 95
Saskatchewan 6883 175 2.61 37 0 0.00 0.54 5824.83 31.31 1 in 172
Nova Scotia 1227 37 3.11 65 0 0.00 5.30 1255.30 66.50 1 in 797
New Brunswick 450 5 1.12 7 0 0.00 1.56 576.93 8.97 1 in 1733
Newfoundland and Labrador 323 2 0.62 4 0 0.00 1.24 619.53 7.67 1 in 1614
Nunavut 144 10 7.46 0 0 NaN 0.00 NA NA 1 in NA
Prince Edward Island 69 0 0.00 0 0 NaN 0.00 436.27 0.00 1 in 2292
Yukon 38 0 0.00 1 0 0.00 2.63 925.07 24.34 1 in 1081
Northwest Territories 15 0 0.00 0 0 NaN 0.00 334.05 0.00 1 in 2994
Repatriated Travellers 13 NA NA 0 NA NA 0.00 NA NA 1 in NA

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68148 4512 6.62
Hong Kong 5781 108 1.87
Guangdong 1984 8 0.40
Shanghai 1314 7 0.53
Zhejiang 1293 1 0.08
Henan 1289 22 1.71
Hunan 1020 4 0.39
Anhui 992 6 0.60
Xinjiang 980 3 0.31
Beijing 950 9 0.95
Heilongjiang 949 13 1.37
Jiangxi 935 1 0.11
Shandong 849 7 0.82
Sichuan 800 3 0.38
Jiangsu 679 0 0.00
Chongqing 590 6 1.02
Shaanxi 496 3 0.60
Fujian 479 1 0.21
Hebei 373 6 1.61
Inner Mongolia 311 1 0.32
Tianjin 299 3 1.00
Liaoning 289 2 0.69
Guangxi 263 2 0.76
Shanxi 220 0 0.00
Yunnan 217 2 0.92
Gansu 181 2 1.10
Hainan 171 6 3.51
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 38481.55 794.39 1 in 26
India 6887.39 100.60 1 in 145
Brazil 29234.15 812.78 1 in 34
France 32932.17 751.22 1 in 30
Russia 14677.07 253.81 1 in 68
Spain 34180.11 935.88 1 in 29
United Kingdom 23218.11 841.89 1 in 43
Italy 24057.90 848.31 1 in 42
Argentina 31212.90 845.54 1 in 32
Colombia 25728.43 727.06 1 in 39
Mexico 8205.51 795.19 1 in 122
Germany 11634.16 179.15 1 in 86
Peru 29547.93 1107.90 1 in 34
Poland 23935.39 376.88 1 in 42
Iran 10849.46 563.55 1 in 92
South Africa 13615.16 371.70 1 in 73
Ukraine NA NA 1 in NA
Belgium 49280.96 1398.07 1 in 20
Chile 30087.92 838.28 1 in 33
Iraq 14103.71 314.37 1 in 71

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 374134 7497 2.00
Cook Illinois 287124 6389 2.23
Miami-Dade Florida 218294 3789 1.74
Maricopa Arizona 194410 3922 2.02
Harris Texas 185304 2974 1.60
Dallas Texas 132443 1507 1.14
Clark Nevada 108252 1705 1.58
Broward Florida 102638 1630 1.59
Tarrant Texas 94687 997 1.05
San Bernardino California 87542 1129 1.29
Queens New York 86684 7343 8.47
Kings New York 85561 7489 8.75
El Paso Texas 82809 995 1.20
Riverside California 82175 1417 1.72
Bexar Texas 75718 1480 1.95
Salt Lake Utah 75458 382 0.51
San Diego California 74361 984 1.32
Orange California 71953 1556 2.16
Milwaukee Wisconsin 67986 730 1.07
Palm Beach Florida 62697 1663 2.65
Philadelphia Pennsylvania 62620 1960 3.13
Bronx New York 61617 5030 8.16
Hennepin Minnesota 60524 1095 1.81
Wayne Michigan 59290 3187 5.38
Nassau New York 57489 2244 3.90
Suffolk New York 57366 2036 3.55
Hillsborough Florida 56166 892 1.59
Orange Florida 55526 635 1.14
Franklin Ohio 50231 667 1.33
St. Louis Missouri 47884 965 2.02
Westchester New York 47632 1502 3.15
Utah Utah 45906 121 0.26
Shelby Tennessee 45850 645 1.41
New York New York 42981 3222 7.50
Middlesex Massachusetts 42863 2394 5.59
Oakland Michigan 42349 1322 3.12
DuPage Illinois 42201 754 1.79
Marion Indiana 41953 849 2.02
Hidalgo Texas 41469 2044 4.93
Duval Florida 41415 570 1.38
Mecklenburg North Carolina 41392 435 1.05
Davidson Tennessee 40834 409 1.00
King Washington 40522 864 2.13
Kern California 39437 445 1.13
Fulton Georgia 39385 684 1.74
Prince George’s Maryland 39297 909 2.31
Gwinnett Georgia 38432 511 1.33
Travis Texas 37120 478 1.29
Pima Arizona 36986 679 1.84
Oklahoma Oklahoma 36880 282 0.76
Fresno California 36688 477 1.30
Douglas Nebraska 36384 279 0.77
Will Illinois 36082 532 1.47
Cuyahoga Ohio 36047 741 2.06
Fairfield Connecticut 35494 1478 4.16
Suffolk Massachusetts 35362 1228 3.47
Lake Illinois 34915 612 1.75
Sacramento California 34186 550 1.61
Jefferson Kentucky 33963 436 1.28
Denver Colorado 33650 510 1.52
Macomb Michigan 33544 1232 3.67
Essex New Jersey 33473 2210 6.60
Bergen New Jersey 32581 2108 6.47
Essex Massachusetts 32308 1429 4.42
Polk Iowa 32244 325 1.01
Montgomery Maryland 31622 935 2.96
Santa Clara California 31603 467 1.48
Providence Rhode Island 31512 1009 3.20
Pinellas Florida 31464 881 2.80
Jefferson Alabama 31043 491 1.58
Tulsa Oklahoma 30917 258 0.83
Kent Michigan 30078 312 1.04
Hamilton Ohio 29931 372 1.24
Kane Illinois 29870 449 1.50
Hudson New Jersey 29637 1560 5.26
Lubbock Texas 29378 319 1.09
Fairfax Virginia 29179 617 2.11
Cobb Georgia 28966 501 1.73
Middlesex New Jersey 28719 1479 5.15
Lee Florida 28608 570 1.99
Alameda California 27857 499 1.79
Passaic New Jersey 27797 1301 4.68
Baltimore Maryland 27402 711 2.59
Wake North Carolina 26910 286 1.06
Lake Indiana 26872 453 1.69
Adams Colorado 26819 317 1.18
Union New Jersey 26752 1424 5.32
DeKalb Georgia 26748 446 1.67
Polk Florida 26691 669 2.51
New Haven Connecticut 26643 1207 4.53
Hartford Connecticut 26555 1573 5.92
Dane Wisconsin 26485 80 0.30
Waukesha Wisconsin 26438 190 0.72
Cameron Texas 25701 1108 4.31
Ramsey Minnesota 25467 477 1.87
Sedgwick Kansas 25157 149 0.59
Johnson Kansas 25025 283 1.13
San Joaquin California 24804 504 2.03
Allegheny Pennsylvania 24624 480 1.95
Arapahoe Colorado 24552 431 1.76

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc